Article ID: | iaor2008276 |
Country: | Netherlands |
Volume: | 42 |
Issue: | 2 |
Start Page Number: | 626 |
End Page Number: | 638 |
Publication Date: | Nov 2006 |
Journal: | Decision Support Systems |
Authors: | Cheng Chi-Bin, Chan Chu-Chai Henry, Lin Kun-Cheng |
Keywords: | artificial intelligence: decision support |
Automated negotiation by autonomous agents has become increasingly important since the advent of e-marketplace. In this study, automated negotiation is viewed as a search process in which negotiators jointly search for a mutually acceptable contract in a multidimensional space formed by negotiable issues. This search is formulated as a multiple-objective decision making problem and is solved through an iterative process of generating offers by fuzzy inference systems. These fuzzy inference systems serve as a search heuristic and are formulated based on the strategy of issue trade-offs. Five experiments are conducted to evaluate the performance of the proposed automated negotiation algorithm.